Best practices for OAuth scopes management in Databricks

OAuth scopes management in Databricks lets you define the exact actions an access token can perform. Instead of granting full workspace access, you can assign narrow scopes like sql, jobs, or notebooks. With proper scope definitions, every integration, script, and service account gets the minimum access required—no more, no less.

Databricks access control builds on OAuth by layering workspace permissions on top of scope-based API restrictions. A well-structured policy ensures that even if a token leaks, its blast radius stays small. This means mapping scopes to specific roles, aligning them with your workspace’s permission model, and auditing both regularly.

Best practices for OAuth scopes management in Databricks:

• Audit all existing tokens and remove unused ones.
• Use service principals with scoped permissions for automation.
• Map scopes directly to job or query requirements.
• Rotate credentials on a fixed schedule.
• Monitor API usage logs for unauthorized patterns.

By combining OAuth scope limits with Databricks access control lists, you create a layered defense: OAuth defines what API calls can be made, while ACLs define which workspace assets those calls can touch. This reduces risk without slowing down development.

Strong scope management is not just policy—it’s operational security. Review it often. Keep it lean. Keep it enforced.

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